Designing a
Designing a
Designing a
Smarter Way to Identify
Smarter Way to
Smarter Way to Identify
Root Causes
Root Causes
Identify Root Causes
with Intelligence
with Intelligence
Support
with Intelligence
Support
Support
About Project
About Project
About Project
Root Cause Analysis with Intelligence (RCAI) is a concept-led initiative created to improve how pharmaceutical teams identify and document root causes during investigations. Audree observed that traditional RCA depended heavily on individual experience, varied widely between users, and often repeated the same analysis without learning from past cases.
The goal of RCAI was to design a clear, guided investigation flow from scratch. We mapped the journey from incident initiation to root cause confirmation and CAPA alignment, embedding intelligence where it adds value. This approach helps teams work consistently, reuse past learnings, and produce audit-ready investigations without increasing complexity.
Root Cause Analysis with Intelligence (RCAI) is a concept-led initiative created to improve how pharmaceutical teams identify and document root causes during investigations. Audree observed that traditional RCA depended heavily on individual experience, varied widely between users, and often repeated the same analysis without learning from past cases.
The goal of RCAI was to design a clear, guided investigation flow from scratch. We mapped the journey from incident initiation to root cause confirmation and CAPA alignment, embedding intelligence where it adds value. This approach helps teams work consistently, reuse past learnings, and produce audit-ready investigations without increasing complexity.
About Project
Pharmaceutical
Team
Varun , S.Madhumala
Subscription Category
Quick win
Project start Year
August 2024
Core Business
Core Business
Core Business
Challenges
Challenges
Challenges
Repeated Investigations With Limited Learning
Repeated Investigations With Limited Learning
Repeated Investigations With Limited Learning
Similar issues were repeatedly investigated because individual learnings were not captured or shared across investigations.
Similar issues were repeatedly investigated because individual learnings were not captured or shared across investigations.
Similar issues were repeatedly investigated because individual learnings were not captured or shared across investigations.
Inconsistent Root Cause Outcomes
Inconsistent Root Cause Outcomes
Inconsistent Root Cause Outcomes
Root cause analysis varied across teams and sites, leading to uneven investigation quality and difficulty in defending outcomes during audits.
Root cause analysis varied across teams and sites, leading to uneven investigation quality and difficulty in defending outcomes during audits.
Root cause analysis varied across teams and sites, leading to uneven investigation quality and difficulty in defending outcomes during audits.
Heavy Dependence on Manual Coordination
Heavy Dependence on Manual Coordination
Investigations required frequent follow ups between QA, QC, and other teams, causing delays and loss of investigation context.
Investigations required frequent follow ups between QA, QC, and other teams, causing delays and loss of investigation context.
Heavy Dependence on Manual Coordination
Investigations required frequent follow ups between QA, QC, and other teams, causing delays and loss of investigation context.
Our
Our
Our
Approach
Approach
Approach
Mapping the RCAI Investigation Flow
We mapped the RCAI investigation flow from incident initiation to root cause confirmation, introducing guided questions and intelligence led cause suggestions to reduce guesswork. The flow allows users to validate, regenerate, or define causes, ensuring investigations reuse past learnings and continuously improve over time.
Mapping the RCAI Investigation Flow
We mapped the RCAI investigation flow from incident initiation to root cause confirmation, introducing guided questions and intelligence led cause suggestions to reduce guesswork. The flow allows users to validate, regenerate, or define causes, ensuring investigations reuse past learnings and continuously improve over time.
Mapping the RCAI Investigation Flow
We mapped the RCAI investigation flow from incident initiation to root cause confirmation, introducing guided questions and intelligence led cause suggestions to reduce guesswork. The flow allows users to validate, regenerate, or define causes, ensuring investigations reuse past learnings and continuously improve over time.
Designing
RCAI
Into a
Designing RCAI Into a
Designing RCAI Into a
Guided
Investigation
Workflow
Guided Investigation Workflow
Guided Investigation Workflow
The RCAI process was designed as a single, guided investigation workflow with clear stages from incident initiation to root cause confirmation and CAPA alignment. Structured reasoning and contextual intelligence reduced manual coordination, improved consistency, and strengthened audit readiness across teams.
The RCAI process was designed as a single, guided investigation workflow with clear stages from incident initiation to root cause confirmation and CAPA alignment. Structured reasoning and contextual intelligence reduced manual coordination, improved consistency, and strengthened audit readiness across teams.
Structured Workflow
Structured Workflow
Structured Workflow
for Root Cause
Identification
for Root Cause Identification
for Root Cause Identification
The RCAI workflow became a clear, step-by-step investigation flow from incident initiation to root cause confirmation, removing reliance on fragmented discussions and manual reasoning.
Each team can clearly see:
Investigation context and responses
Suggested and confirmed root causes
Pending validations and next steps
This turns root cause analysis from an experience-driven exercise into a guided, consistent, and defensible investigation workflow.
The RCAI workflow became a clear, step-by-step investigation flow from incident initiation to root cause confirmation, removing reliance on fragmented discussions and manual reasoning.
Each team can clearly see:
Investigation context and responses
Suggested and confirmed root causes
Pending validations and next steps
This turns root cause analysis from an experience-driven exercise into a guided, consistent, and defensible investigation workflow.
The RCAI workflow became a clear, step-by-step investigation flow from incident initiation to root cause confirmation, removing reliance on fragmented discussions and manual reasoning.
Each team can clearly see:
Investigation context and responses
Suggested and confirmed root causes
Pending validations and next steps
This turns root cause analysis from an experience-driven exercise into a guided, consistent, and defensible investigation workflow.
Intelligent Root Cause
Intelligent Root Cause
Intelligent Root Cause
Suggestions
Suggestions
Suggestions
RCAI uses investigation inputs and historical learnings to suggest relevant probable root causes early in the process. Investigators can validate, refine, or regenerate suggestions instead of starting from a blank slate.
This helps teams reduce guesswork, reuse past insights, and arrive at accurate, defensible root causes faster.
RCAI uses investigation inputs and historical learnings to suggest relevant probable root causes early in the process. Investigators can validate, refine, or regenerate suggestions instead of starting from a blank slate.
This helps teams reduce guesswork, reuse past insights, and arrive at accurate, defensible root causes faster.
RCAI uses investigation inputs and historical learnings to suggest relevant probable root causes early in the process. Investigators can validate, refine, or regenerate suggestions instead of starting from a blank slate.
This helps teams reduce guesswork, reuse past insights, and arrive at accurate, defensible root causes faster.
Clear Visual Guidance for
Clear Visual Guidance
Clear Visual Guidance for
for
Root Cause Identification
Root Cause Identification
Root Cause
Identification
Clear investigation stages, cause indicators, and validation states guide users through RCAI, making progress and next steps easy to understand.
Clear investigation stages, cause indicators, and validation states guide users through RCAI, making progress and next steps easy to understand.
Structured UI for Smarter,
Structured UI for
Structured UI for Smarter,
Faster,
Root Cause Identification
Root Cause
Root Cause Identification
Identification
The RCAI UI guides each investigation stage with clear visuals and cues, reducing errors and keeping teams aligned throughout the analysis.
The RCAI UI guides each investigation stage with clear visuals and cues, reducing errors and keeping teams aligned throughout the analysis.
Result That
Result That
Result That
Introduced
Introduced
Introduced
Investigation Lifecycle
Investigation Lifecycle
Investigation Lifecycle
Clearer investigation flows, connected RCAI stages, and structured reasoning steps improved investigation speed, reduced errors, and strengthened confidence in root cause decisions.
Clearer investigation flows, connected RCAI stages, and structured reasoning steps improved investigation speed, reduced errors, and strengthened confidence in root cause decisions.
Improved Root Cause Clarity
Improved Root Cause Clarity
Improved Root Cause Clarity
Structured investigation stages made it easier for teams to understand, review, and validate root causes, reducing confusion and rework across investigations.
Structured investigation stages made it easier for teams to understand, review, and validate root causes, reducing confusion and rework across investigations.
Structured investigation stages made it easier for teams to understand, review, and validate root causes, reducing confusion and rework across investigations.
Faster, More Effective Investigations
Intelligent root cause suggestions and clear progression replaced manual back-and-forth, helping teams reach accurate conclusions faster with fewer rework cycles.
Reduced Investigation Repetition
Reuse of past investigation learnings prevented teams from re-analyzing similar quality events repeatedly, saving time and improving overall investigation efficiency.
Faster, More Effective Investigations
Faster, More Effective Investigations
Intelligent root cause suggestions and clear progression replaced manual back-and-forth, helping teams reach accurate conclusions faster with fewer rework cycles.
Intelligent root cause suggestions and clear progression replaced manual back-and-forth, helping teams reach accurate conclusions faster with fewer rework cycles.
Reduced Investigation Repetition
Reduced Investigation Repetition
Reuse of past investigation learnings prevented teams from re-analyzing similar quality events repeatedly, saving time and improving overall investigation efficiency.
Reuse of past investigation learnings prevented teams from re-analyzing similar quality events repeatedly, saving time and improving overall investigation efficiency.
Make your product the one users recommend!
Make your product the one users recommend!
Make your product the one users recommend!
